Reduction noise in noncontact physical system

Physical body signals such as (ECG, EEG) usually interference with high frequency noises, like powerline interference, electromyography (EMG) noise, and equipment's with high vibration which cause wrong reading or effect on our final benefit from [1-2]. One of the most effect method to cancel and reduce all contaminate noise by using adaptive filters which requires an external reference to estimate the noise and, in turn, subtracting it from the noisy ECG or ECEG. However, this is often ineffective due to the fact that the reference signal cannot be well-correlated with the noise part in the primary input. An adaptive structure used to deal with the noise without the need of external reference is addressed in this paper[1-3]. Basic idea behind this is due to the fact that ECG signals can be treated as periodic signals in some frequencies. This makes it possible for an adaptive filter to estimate the clean ECG signal from the noisy one. The usefulness of this approach is confirmed by using simulated ECG as well as real ECG from the database Patient. CHD.